| ITU Mineral Processing Engineering Undergraduate Program: Accredited by the Engineering Accreditation Commission (EAC) of ABET, www.abet.org, (Criteria: General Criteria). |
ABET Coordinator : Prof.Dr. Feridun BOYLU,
ABET Commission: Prof.Dr. Gülay BULUT,Prof.Dr. Ayhan Ali SİRKECİ, Prof. Dr. Olgaç KANGAL, Assoc. Prof. Dr. Birgül BENLİ, Assoc.. Prof. Dr. Fırat BURAT, Asst. Prof. Dr. K. Tahsin PEREK, Academic Dr. Ş. Beste AYDIN, Dr.Eng. Mustafa Özer
Senior Exit Survey Internship Evaluation Survey Internship Employer Survey Employer Survey Alumni Survey ABET Archive (Before 2018) Program Educational Objectives
The undergraduate program graduates will demonstrate their interdisciplinary education, analytical thinking skills, and team-oriented capabilities within a few years after graduation by:
1. Solving complex problems involving mineral processing as productive and environmentally responsible members of private companies or government agencies, or as graduate students,
2. Developing, enhancing, or promoting mineral processing technologies that enhance the quality of life of people in communities near where mineral processing activities take place,
3. Contributing to the education of people by informing citizens, political leaders and Non-Governmental Organisation (NGO) about the value of processed mineral commodities and their uses in society.
Student Outcomes
1 | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
2 | an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |
3 | an ability to communicate effectively with a range of audiences |
4 | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
5 | an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives |
6 | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
7 | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Annual Graduation Data (2009-2020)
Academic Year |
| 2010-2011 | 2011-2012 | 2012-2013 | 2013-2014 | 2014-2015 | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 |
Enrolled Students | 52 | 62 | 31 | 31 | 41 | 50 | 53 | 67 | | |
Graduated Students | 6 | 17 | 18 | 23 | 21 | 24 | 24 | 33 | | |
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)